Benchmark: object spread vs immutable-js set vs simmer

HTML Preparation code:

<script src="https://cdnjs.cloudflare.com/ajax/libs/immutable/3.8.2/immutable.min.js"></script>
<script src="https://cdn.jsdelivr.net/npm/immutability-helper@2.7.0/index.min.js"></script>
<script src="https://unpkg.com/immer@6.0.3/dist/immer.umd.production.min.js"></script>

Tests:

object spread
let obj = {}; for(i=0;i<100;i++){ const key = 'key'+i const value = 'value'+i obj = {...obj, [key]: {key, value}} }
immutable-js
let obj = Immutable.Map(); for(i=0;i<100;i++){ const key = 'key'+i const value = 'value'+i obj = obj.set(key, {key, value}) }
immer
let obj = immer.produce( {}, draft => { for(i=0;i<100;i++){ const key = 'key'+i const value = 'value'+i draft[key] = {key, value} } })

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
object spread
immutable-js
immer

Fastest: N/A

Slowest: N/A

Latest run results:

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Autogenerated LLM Summary (model llama3.2:3b, generated one year ago):

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Let's break down the benchmark and its various components.

**Benchmark Overview**

The provided JSON represents a JavaScript microbenchmark created using MeasureThat.net, which compares the performance of three approaches: object spread (using the built-in `Object.assign` method), immutable-js set (using the Immutable.js library), and simmer (a custom implementation).

**Approaches Compared**

1. **Object Spread**: This approach uses the `Object.assign()` method to update an existing object by spreading a new object with the same keys.
2. **Immutable-js Set**: This approach uses the Immutable.js library to create an immutable data structure, specifically a Map, and updates it by adding new key-value pairs using the `set()` method.
3. **Simmer**: This is a custom implementation that updates an existing object by creating a new object with the same keys and values.

**Pros and Cons of Each Approach**

1. **Object Spread**:
	* Pros: Simple, built-in method, easy to understand and use.
	* Cons: Can be slow for large datasets due to the overhead of copying objects.
2. **Immutable-js Set**:
	* Pros: Provides a predictable and efficient way to update immutable data structures, especially when using Immutable.js library's features like caching and memoization.
	* Cons: Requires an external library (Immutable.js) which may add overhead for some use cases.
3. **Simmer**: (Not publicly disclosed in this benchmark)
	* Pros: Possibly optimized for performance or specific use case, but not clear without further analysis.
	* Cons: Unknown factors make it harder to evaluate.

**Library and Syntax Considerations**

1. **Immutable.js Library**:
The Immutable.js library is a popular JavaScript library that provides immutable data structures like Maps, Sets, and Lists. It's designed for predictable, concurrent, and thread-safe updates. The `set()` method is used to add new key-value pairs to an existing Map.
2. **Custom Implementation (Simmer)**:
Unfortunately, the implementation details of the custom "simmer" approach are not publicly disclosed in this benchmark.

**Other Alternatives**

For similar problems, you might consider using other libraries or approaches:

* For object updates, you can also use a library like Lodash's `set` function or even vanilla JavaScript's `Object.keys()` and `forEach()` methods.
* For immutable data structures, other libraries like Immutable.js's competitors (e.g., MobX) or plain objects wrapped with `Object.freeze()` might be suitable alternatives.

**Benchmark Interpretation**

Given the benchmark results:

1. **Immutable-js Set**: The fastest approach in this benchmark, likely due to its optimized implementation and caching features.
2. **Simmer**: Slower than Immutable.js Set but faster than Object Spread.
3. **Object Spread**: Slowest approach in this benchmark, likely due to the overhead of copying objects.

Keep in mind that these results may vary depending on the specific use case, JavaScript engine, and other factors not accounted for in this benchmark.

In conclusion, when dealing with object updates or immutable data structures, consider the trade-offs between simplicity, predictability, and performance. Choose an approach based on your specific requirements, and don't hesitate to explore alternative libraries or implementations if needed.

Related benchmarks:

object spread vs immutable-js set vs simmer (version: 0)

Comparing performance of: object spread vs immutable-js vs immer

Created: 3 years ago by: Guest

Jump to the latest result

object spread

immutable-js

immer

Suite status: <idle, ready to run>

Fastest: N/A

Slowest: N/A

No previous run results

Autogenerated LLM Summary (model llama3.2:3b, generated one year ago):